Skill UI

Provides guidance on organizing and writing focused XUnit unit tests, covering project setup, fact/theory patterns, assertions, mocking, and data-driven testing for reliable .NET test suites.

Framework for building and scaling developer-led adoption via ecosystem programs, student pipelines, documentation tiers, community support, and partner tiering to guide platform go-to-market decisions.

A comprehensive, multi-phase quality engineering audit tool designed to test codebases beyond standard unit tests. It first explores the codebase's domain and architecture to derive behavioral requirements, then executes a rigorous sequence including spec-traced functional tests, three-pass code reviews, and a multi-model specification audit (Council of Three). It is specifically engineered to find the critical 35% of real-world defects that structural code review alone might miss. Works with any programming language.

Acts as a senior software engineer to meticulously review and refactor entire codebases. This skill ensures that the code is clean, highly maintainable, and strictly adheres to defined coding standards and best practices specified across multiple project instruction files. It guarantees the integrity of the existing file structure and ensures all unit tests remain passing after modifications.

Automates Salesforce CRM workflows through Rube MCP's Composio toolkit, letting you manage leads, contacts, accounts, opportunities, SOQL queries, and tasks with guided tool sequences and prerequisites.

Scaffolds an empty xUnit integration test project targeting Oracle in .NET solutions, including a transaction-rollback base class and seed data manager. Use in Phase 3 before writing Oracle baseline tests for Oracle-to-PostgreSQL migration.

Applies proven testing patterns (AAA, Given-When-Then, builders, spies, doubles) to help write maintainable unit, integration, and end-to-end suites, covering structuring, naming, TDD/BDD, and mocks across frameworks like Jest, Vitest, or pytest.

A comprehensive guide to writing, structuring, and reviewing high-quality unit and widget tests for Flutter and Dart applications. Learn best practices for ensuring test validity, distinguishing between unit and widget scope, mastering mocking, and optimizing test files for robust regression detection.

A comprehensive guide for writing and reviewing robust, behavior-first unit tests for Vue 3, TypeScript, and Pinia stores. This skill covers advanced patterns for testing components, composables, and state management using Vitest and Vue Test Utils, emphasizing black-box assertions and minimizing implementation coupling.

This technique optimizes search precision when querying blog posts or articles. By wrapping unique phrases, specific titles, or direct quotes in quotation marks, the system treats the phrase as a single, exact unit. This prevents the search engine from breaking the phrase into individual words, which dramatically reduces noise and increases the likelihood of finding the intended source material.

Core Python library for astronomy and astrophysics workflows, covering units, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.

Create, analyze, and visualize complex networks in Python with NetworkX 3.x. Build graphs from data, run algorithms like shortest paths, PageRank and centrality, detect communities, generate synthetic networks, and read/write GraphML, JSON or edge-list files.